Package: ToolsForCoDa
Type: Package
Title: Multivariate Tools for Compositional Data Analysis
Version: 1.1.0
Date: 2025-01-09
Authors@R: c(person("Jan", "Graffelman", role = c("aut", "cre"), email = "jan.graffelman@upc.edu"))
Author: Jan Graffelman [aut, cre]
Maintainer: Jan Graffelman <jan.graffelman@upc.edu>
Depends: R (>= 1.8.0), MASS, calibrate, Correlplot
Description: Provides functions for multivariate analysis with
        compositional data. Includes a function for doing compositional
        canonical correlation analysis.  This analysis requires two
        data matrices of compositions, which can be adequately
        transformed and used as entries in a specialized program for
        canonical correlation analysis, that is able to deal with
        singular covariance matrices. The methodology is described in
        Graffelman et al. (2017) <doi:10.1101/144584>. Functions for
        log-ratio principal component analysis with condition number
        computations and log-ratio discriminant analysis have been
        added to the package.
License: GPL (>= 2)
URL: https://www.r-project.org, http://www-eio.upc.edu/~jan/
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Packaged: 2026-07-04 18:31:10 UTC; root
NeedsCompilation: no
Repository: https://jangraffelman.r-universe.dev
Date/Publication: 2025-01-09 11:00:05 UTC
RemoteUrl: https://github.com/cran/ToolsForCoDa
RemoteRef: HEAD
RemoteSha: 118e968f78292cd20e1591c92b3cea00bff2b49c